Re-Usable Web-Objects for Use with Automation Tools

1. A system comprising: a memory storing processor-executable program code; and a processing unit to execute the processor-executable program code to: generate unique identifiers for each web-object stored in an object repository by identifying all of the properties associated with each web-object, and classifying each of the identified properties for each stored web-object as relevant or non-relevant for matching the stored web-object, wherein relevancy is predetermined by a reviewer; create a unique key for each stored web-object, the unique key created from a concatenation of relevant properties, wherein changes to non-relevant properties of the web-object do not affect the key value of the stored web-object; execute an automation test for a user interface application, wherein execution of the automation test includes accessing a web-object; determine whether the accessed web-object is included in the object repository by extracting properties of the accessed web-object, creating a key value for the accessed web-object by concatenating the extracted properties that are relevant for matching, and comparing the created key value for the accessed web-object with each unique key created for each stored web-object; in a case it is determined the web-object is not included in the object repository, create the web-object in the object repository; and in a case it is determined the web-object is included in the object repository: determine whether the accessed web-object includes at least one different property from the web-object included in the object repository; and update the web-object included in the object repository with the at least one different property in the accessed web-object.

2. The system of claim 1, wherein creation of the web-object in the object repository comprises: extraction of one or more automation properties from the web-object; identification of a unique combination of automation properties for the web-object; creation of the unique key for the web-object based on the identified unique combination; and association of the unique key with the web-object and storage of the unique key and web-object in the object repository.

3. The system of claim 2, wherein identification of the unique combination of automation properties further comprises: identification of a user interface framework type.

4. The system of claim 2, wherein the determination of whether the accessed web-object includes at least one different property from the web-object included in the object repository further comprises: identification of one or more properties of the accessed web-object; identification of one or more same properties of a web-object in the object repository; and prediction, via a machine learning algorithm, that the web-object in the object repository corresponds to the accessed web-object.

5. The system of claim 4, wherein the prediction is based on a ranking of the identified one or more properties in the accessed web-object and the web-object in the object repository.

6. The system of claim 4, wherein predicting that the web-object in the object repository corresponds to the accessed web-object further comprises the processing unit to further execute the executable program code to: receive a screen shot of a user interface, of the user interface application, at a time the web-object was accessed; receive the properties of the web-object stored in the object repository based on the unique keys; locate the accessed web-object in the application based on the screen shot and the received properties of the web-object stored in the object repository; determine the accessed web-object is a closest match for the web-object stored in the object repository; and update the web-object stored in the object repository with the properties of the accessed web-object.

7. The system of claim 1, wherein the determination of whether the unique key is attached to the web-object further comprises processor-executable program code to: rank a plurality of properties included for the web-object, wherein each rank is associated with a relevancy level; for each property of the plurality of properties having the pre-defined relevancy level, concatenate the properties based on the rules for the given framework used by the user interface application; and determine whether the concatenated properties are present in the object repository.

8. A method comprising: generating unique identifiers for each web-object stored in an object repository by identifying all of the properties associated with each web-object, and classifying each of the identified properties for each stored web-object as relevant or non-relevant for matching the stored web-object, wherein relevancy is predetermined by a reviewer creating a unique key for each stored web-object, the unique key created from a concatenation of relevant properties, wherein changes to non-relevant properties of the web-object do not affect the key value of the stored web-object; executing an automation test for a user interface application, wherein execution of the automation test includes accessing a web-object; determining whether the accessed web-object is included in the object repository by extracting properties of the accessed web-object, creating a key value for the accessed web-object by concatenating the extracted properties that are relevant for matching, and comparing the created key value for the accessed web-object with each unique key created for each stored web-object; in a case it is determined the web-object is not included in the object repository, creating the web-object in the object repository; and in a case it is determined the web-object is included in the object repository: determining whether the accessed web-object includes at least one different property from the web-object included in the object repository; and updating the web-object included in the object repository with the at least one different property in the accessed web-object.

9. The method of claim 8, wherein creating of the web-object in the object repository comprises: extracting one or more automation properties from the web-object; identifying a unique combination of automation properties for the web-object; creating the unique key for the web-object based on the identified unique combination; and associating the unique key with the web-object and storing the unique key and web-object in the object repository.

10. The method of claim 9, wherein identifying the unique combination of automation properties further comprises: identifying of a user interface framework type.

11. The method of claim 8, wherein the determination of whether the accessed web-object includes at least one different property from the web-object included in the object repository further comprises: identifying one or more properties of the accessed web-object; identifying one or more same properties of a web-object in the object repository; and predicting, via a machine learning algorithm, that the web-object in the object repository corresponds to the accessed web-object.

12. The method of claim 11, wherein the prediction is based on a ranking of the identified properties in the accessed web-object and the web-object in the object repository.

13. The method of claim 11, wherein predicting that the web-object in the object repository corresponds to the accessed web-object further comprises: receiving a screen shot of a user interface, of the user interface application, at a time the web-object was accessed; receiving the properties of the web-object stored in the object repository based on the unique keys; locating the accessed web-object in the application based on the screen shot and the received properties of the web-object stored in the object repository; determining the accessed web-object is a closest match for the web-object stored in the object repository; and updating the web-object stored in the object repository with the properties of the accessed web-object.

14. A non-transitory, computer readable medium having executable instructions stored therein to perform a method, the method comprising: generating unique identifiers for each web-object stored in an object repository by identifying all of the properties associated with each web-object, and classifying each of the identified properties for each stored web-object as relevant or non-relevant for matching the stored web-object, wherein relevancy is predetermined by a reviewer creating a unique key for each stored web-object, the unique key created from a concatenation of relevant properties, wherein changes to non-relevant properties of the web-object do not affect the key value of the stored web-object; executing an automation test for a user interface application, wherein execution of the automation test includes accessing a web-object; determining whether the accessed web-object is included in the object repository by extracting properties of the accessed web-object, creating a key value for the accessed web-object by concatenating the extracted properties that are relevant for matching, and comparing the created key value for the accessed web-object with each unique key created for each stored web-object; in a case it is determined the web-object is not included in the object repository, creating the web-object in the object repository; and in a case it is determined the web-object is included in the object repository: determining whether the accessed web-object includes at least one different property from the web-object included in the object repository, the determination further comprising: predicting, via a machine learning algorithm, that the web-object in the object repository corresponds to the accessed web-object, the prediction further comprising: receiving a screen shot of a user interface, of the user interface application, at a time the web-object was accessed; receiving the properties of the web-object stored in the object repository based on the unique keys; locating the accessed web-object in the application based on the screen shot and the received properties of the web-object stored in the object repository; determining the accessed web-object is a closest match for the web-object stored in the object repository; and updating the web-object included in the object repository with the at least one different property in the accessed web-object.

15. The medium of claim 14, wherein creating of the web-object in the object repository comprises: extracting of one or more automation properties from the web-object; identifying of a unique combination of automation properties for the web-object; creating the unique key for the web-object based on the identified unique combination; and associating the unique key with the web-object and storing the unique key and web-object in the object repository.

16. The medium of claim 15, wherein identifying the unique combination of automation properties further comprises: identifying of a user interface framework type.

17. The medium of claim 14, wherein the determination of whether the accessed web-object includes at least one different property from the web-object included in the object repository further comprises: identifying one or more properties of the accessed web-object; and identifying one or more same properties of a web-object in the object repository.

18. The medium of claim 17, wherein the prediction is based on a ranking of the identified properties in the accessed web-object and the web-object in the object repository.

19. The medium of claim 17, wherein predicting that the web-object in the object repository corresponds to the accessed web-object further comprises: updating the web-object in the object repository with the properties of the accessed web-object.